Knowledge-driven multimedia information extraction and ontology evolution : bridging the semantic gap /

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Bibliographic Details
Imprint:Berlin ; New York : Springer, ©2011.
Description:1 online resource (ix, 243 pages) : color illustrations, color maps.
Language:English
Series:Lecture notes in computer science, 0302-9743 ; 6050. Lecture notes in artificial intelligence
State-of-the-art survey
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in computer science ; 6050.
Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science. State-of-the-art survey.
LNCS sublibrary. SL 7, Artificial intelligence.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11075621
Hidden Bibliographic Details
Other authors / contributors:Paliouras, Georgios, 1970-
Spyropoulos, Constantine D., 1951-
Tsatsaronis, G. (George)
ISBN:9783642207952
3642207952
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and indexes.
Print version record.
Summary:This book aims to cover the state of the art in the fields of ontology evolution and information extraction from multimedia, while also promoting the synergy between these two fields. The contents stem largely from the research work conducted over a period of three years under the framework of the research project BOEMIE (Bootstrapping Ontology Evolution with Multimedia Information Extraction). The book is designed to provide researchers, practitioners, and students with basic knowledge and skills presenting a sound theoretical framework as well as concrete examples of applications. The book is organized in eight chapters. The first chapter provides an overview of the BOEMIE project and its main achievements. The second chapter presents current approaches to the representation of knowledge about multimedia using ontologies. The following two chapters provide the state of the art in extraction methods for two important types of multimedia content, i.e. image and text. The fifth chapter covers the automated reasoning process, where the authors attempt to bridge content and knowledge in a process inspired by human reasoning based on perception. The next two chapters provide the state of the art in ontology learning, population and matching, while the last chapter gives a survey of tools that are useful for the annotation of multimedia content with semantics, i.e. concepts and relations that have a particular meaning in the application domain.
Other form:Print version: Knowledge-driven Multimedia Information Extraction and Ontology Evolution. Springer-Verlag New York Inc 2011 9783642207945
Standard no.:10.1007/978-3-642-20795-2